gfiCDF

Fiducial cumulative distribution function of a parameter of 
 interest.

Simulation of the generalized fiducial distribution for
normal linear mixed models with interval data. Fiducial inference is
somehow similar to Bayesian inference, in the sense that it is based
on a distribution that represents the uncertainty about the
parameters, like the posterior distribution in Bayesian statistics. It
does not require a prior distribution, and it yields results close to
frequentist results. Reference: Cisewski and Hannig (2012)
<doi:10.1214/12-AOS1030>.

Stc3<a9>phane Laurent

gfilmm

Generalized Fiducial Inference for Normal Linear Mixed Models

Stéphane Laurent

Jessi Cisewski

gfiCDF function

<dl><dt>parameter</dt>
<dd>a right-sided formula defining the parameter of interest, 
like <code>~ sigma_error/`(Intercept)`</code></dd>
<dt>gfi</dt>
<dd>a <code>gfilmm</code> object (output of <code>gfilmm</code> or 
<code>gfilmmPredictive</code>)</dd></dl>

Arguments

Fiducial cumulative distribution function — gfiCDF

<dl>

<dt>parameter</dt>
<dd>a right-sided formula defining the parameter of interest, 
like <code>~ sigma_error/`(Intercept)`</code></dd>


<dt>gfi</dt>
<dd>a <code>gfilmm</code> object (output of <code>gfilmm</code> or 
<code>gfilmmPredictive</code>)</dd>

</dl>

gfiCDF: Fiducial cumulative distribution function

Description

Usage

Value

Arguments

Examples